The Single Cell Research Center of Qingdao Institute of Bioenergy and Processes, Chinese Academy of Sciences released the second-generation microbiome search engine MSE 2 ( to support more comprehensive, deeper, and more convenient big data mining of flora. MSE 1 contained already 100,000 16S rRNA amplicon sequencing samples, nearly 270,000 samples covering 16S rRNA amplicons, and birdshot metagenome types. MSE represents a new strategy for disease detection based on big data of the microbial flora, and it outperforms the commonly used machine learning algorithms in answering the questions of “whether” and “which disease” in the diagnosis of some chronic diseases might be based on intestinal flora.

CAS news release, January 27, 2021 and mSystems, DOI: 10.1128/mSystems.00943-20